Systematic review uncovers AI and NLP frameworks for tracking regulatory changes in corporate documents, highlighting automated adaptation strategies for enterprise operations.
Abstract This literature review examines the emerging integration of artificial intelligence (AI) and natural language processing (NLP) in intelligent business document processing. The primary objective of this study is to identify intelligent platforms capable of tracking changes in external policies that may affect corporate operations and automatically communicating these updates to help organisations adapt. The review systematically analyses 46 scholarly articles published between 2014 and 2025 that discuss the application of AI and NLP in business document monitoring, retrieved from the Scopus database. It encompasses various AI and NLP techniques employed for semantic search, question answering, summarisation, text data integration and matching, event extraction, and business process management.
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Alotaibi et al. (2026) studied this question.
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